J. Dolezal

Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features

This paper introduces HistoXGAN, a GAN that reconstructs cancer histology from latent features, showing it retains tumor grade, histologic subtype, and gene expression patterns across 29 cancer types.

Land-use impacts on plant functional diversity throughout Europe

The paper assesses how human land use affects plant functional diversity across Europe, finding lower functional richness and divergence but higher evenness in disturbed areas.

Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning

The paper validates a low-cost, open-source workstation and computational pipeline for automated histopathology evaluation using deep learning, showing comparable performance to expensive institutional hardware.

Latent transcriptional programs reveal histology-encoded tumor features spanning tissue origins

This paper uses machine learning to identify latent transcriptional programs in squamous cell carcinomas from histology images, linking them to clinically relevant biological processes.

Multimodal Prediction of Breast Cancer Recurrence Assays and Risk of Recurrence

This paper develops a deep learning model that predicts breast cancer recurrence using digital histology and clinical factors, outperforming a clinical nomogram and identifying patients who may avoid genomic testing.

Distance decay 2.0 - a global synthesis of taxonomic and functional turnover in ecological communities.

This paper synthesizes global taxonomic and functional distance decay patterns across 149 datasets, finding taxonomic decay is stronger than functional decay, with mid-latitude datasets showing the fastest taxonomic spatial decay.

Sticking around: plant persistence strategies on edaphic islands

The paper examines how clonal and non-clonal plants in temperate dry grasslands adapt persistence strategies to soil and insularity conditions, finding clonal species show more consistent responses.

Comparative anatomy of leaf petioles in temperate trees and shrubs

The paper analyzes petiole morphology and anatomy across 95 European woody plant species to identify structural adaptations related to environmental conditions and plant traits.

Climate fluctuations drive the recruitment and growth of temperate grassland plants

This study examines how climate fluctuations affect plant recruitment and growth in temperate grasslands over three decades, revealing species-specific responses to temperature and precipitation changes.

Does rainforest biodiversity stand on the shoulders of giants? Effect of disturbances by forest elephants on trees and insects on Mount Cameroon

The study examines how forest elephant disturbances affect tree and insect communities in Mount Cameroon's rainforests, finding reduced tree diversity and altered insect richness.

Deep learning detects virus presence in cancer histology

This paper uses deep learning to detect the presence of HPV and EBV in cancer histology images, achieving high accuracy in predicting virus-associated tumors.